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Improved delay-dependent stability criterion of generalized neural networked with interval time-varying delays
- Source :
- 2016 Chinese Control and Decision Conference (CCDC).
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- In this paper, we focus on deriving a less conservative stability criterion for generalized neural networked (GNN) with interval time-varying delays. Firstly, a new augmented Lyapunov-Krasovskii functional (ALKF) with triple-integral terms is chosen to reduce the conservatism of stability criteria. In addition, by fully utilizing the integral inequality presented recently and combining the reciprocally convex approach, a improved delay-dependent stability condition is established in terms of LMI. Finally, two numerical examples are provided to verify the advantages of the presented criteria.
- Subjects :
- 0209 industrial biotechnology
Mathematical optimization
Artificial neural network
Stability criterion
Stability (learning theory)
02 engineering and technology
Interval (mathematics)
020901 industrial engineering & automation
Computer Science::Systems and Control
Control theory
0202 electrical engineering, electronic engineering, information engineering
Symmetric matrix
020201 artificial intelligence & image processing
Circle criterion
Focus (optics)
Numerical stability
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 Chinese Control and Decision Conference (CCDC)
- Accession number :
- edsair.doi...........dafeed016ce978598cb50d3315a0217b